https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41528 Wed 07 Feb 2024 17:59:39 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52700 Tue 14 Nov 2023 13:02:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45082 Thu 27 Oct 2022 14:05:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34020 Thu 21 Mar 2024 09:13:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46045 Thu 10 Nov 2022 09:08:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42336 Mon 22 Aug 2022 12:58:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34044 Mon 04 Feb 2019 15:02:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33845 Fri 18 Jan 2019 14:48:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34637 50 and V-funnel tests were carried out on fresh SCCs. The hardened properties of SCCs included compressive strength, flexural strength, tensile strength, water absorption and electrical resistivity were studied. Moreover, Scanning Electron Microscope (SEM) was employed in order to investigate the microstructure of the cement matrix. Results revealed that NC had a significant influence on compressive strength, water absorption and electrical resistivity of SCCs. The replacement of cement with a combination of 3% NC and 0.3% PP fibre gave better mechanical and durability performances than the other samples. However, the compressive strength reduced slightly when PP fibres were added to the concrete. SEM images illustrated that NC refined the pores of cement matrix and thus resulting in low permeability. Also, it is evident from the SEM images that PP fibres would improve the properties of SCCs by bridging across the cracks. Apparently, the inclusion of 3% NC and 0.3% PP can be considered as an appropriate combination regarding the fresh and hardened properties of concrete. Furthermore, three support vector machine (SVM) approaches were used to predict the compressive strength based on the mix proportions. The results demonstrated that the Wavelet Weighted Least Square SVM (WWLSSVM) and Least Square SVM (LSSVM) models gave more accurate prediction than standard Support Vector Machine (SVM).]]> Fri 05 Apr 2019 15:31:52 AEDT ]]>